College enrollment data acquisition method and system based on artificial intelligence

A data acquisition system and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems of low recognition accuracy, specialization, low intelligence, and low data collection efficiency.

Pending Publication Date: 2019-07-02
SHANGHAI EAGER INFORMATION TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing OCR software, due to the limitation of its algorithm, has the following problems and shortcomings: low degree of special

Method used

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  • College enrollment data acquisition method and system based on artificial intelligence
  • College enrollment data acquisition method and system based on artificial intelligence
  • College enrollment data acquisition method and system based on artificial intelligence

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0076] Specific embodiment one:

[0077] An artificial intelligence-based data collection method for college admissions, including an intelligent recognition process and an intelligent error correction process, followed by data processing and calculation according to the above process, and in-depth mining and analysis of college admissions data;

[0078] In order to improve the specialization and intelligence of OCR (Optical Character Recognition) technology, the intelligent recognition process uses artificial intelligence, machine learning, image processing, data mining, coordinate positioning and semantic recognition technology methods, such as figure 2 As shown, the intelligent recognition process includes the following steps:

[0079] Step 1: Scan: Scan the paper documents of the college enrollment plans of the provincial education examination institutes into electronic documents;

[0080] Step 2: Slicing: slice the electronic document in step 1, cut out information related to the...

Example Embodiment

[0141] Specific embodiment two:

[0142] Refer to figure 1 As shown, an artificial intelligence-based college admissions data collection system includes OCR recognition module, proofreading module, data storage module, and intelligent error correction module. The process of intelligent recognition is through the OCR recognition module, proofreading module, and data storage module. The process of intelligent error correction is realized through the intelligent error correction module;

[0143] OCR recognition module: The scanned and sliced ​​files are recognized by OCR and imported into the college admissions data collection system DCS to form the original DCS data, and conduct preliminary labeling and automatic detection of the admissions data;

[0144] Proofreading module: on the basis of preliminary labeling and automatic detection, complete labeling of enrollment data, and manual inspection and proofreading of the data, processing and sorting according to the specified structure, ...

Example Embodiment

[0171] Specific embodiment three:

[0172] Due to the influence of paper impurity points, after scanning and OCR import, the "academic name" in the original DCS data was identified as "Beijing Traffic Taixue", after the initial labeling and complete labeling steps, it entered manual proofreading For such errors, the traditional manual method is used to proofread, and the probability of missed detection is high. Using the method of the present invention, through S002: Combine each "college name" field in the DCS data system with the "admission college name standard database "Compare, check whether the information is correct and complete, and automatically correct errors. The college name field "Beijing Jiaotong University" is automatically corrected to "Beijing Jiaotong University".

[0173] The invention provides an artificial intelligence-based data collection method for college enrollment, which greatly improves the efficiency and accuracy of data collection on an auxiliary platf...

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Abstract

The invention discloses a college enrollment data collection method and system based on artificial intelligence, and relates to the technical field of artificial intelligence. The method comprises theprocesses of intelligent identification and intelligent error correction. Data processing and operation are sequentially carried out according to the process, and the processes of deep mining, analysis and intelligent recognition on college enrollment data are achieved through an OCR recognition module, a manual checking module and a data storage module by adopting a technical method of artificial intelligence, machine learning, image processing, data mining, coordinate positioning and semantic recognition. And an intelligent error correction process is realized through an intelligent error correction module. Through the intelligent identification process, the specialization and intelligence of the identification process are improved, and the accuracy of college enrollment data identification is remarkably improved; and through an intelligent error correction process, the efficiency and the accuracy of college entrance examination volunteering filling auxiliary platform data acquisition are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an artificial intelligence-based college enrollment data collection method and system. Background technique [0002] With the deepening of the comprehensive reform of the examination and enrollment system of colleges and universities, the college admissions policy has changed a lot in recent years (voluntary reporting rules, admission batch settings, and enrollment plans have all changed), and there are great differences between provinces. Big. In the enrollment process of ordinary colleges and universities, the time interval between the announcement of the enrollment plan for the year by the provincial education examination institutes and the submission of voluntary reports by candidates is very tight, usually only about one week. In order to input the current year's enrollment plan into the college entrance examination voluntary filling auxiliary pl...

Claims

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Application Information

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IPC IPC(8): G06F16/25G06K9/34G06F11/10G06Q50/20
CPCG06F11/1004G06Q50/205G06V30/153
Inventor 耿忠诚
Owner SHANGHAI EAGER INFORMATION TECHNOLOGY CO LTD
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